Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.2 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Strazzer
2
68 kgFagnini
3
70 kgRadaelli
4
67 kgOlano
7
70 kgEdo
8
64 kgvan Heeswijk
10
73 kg
2
68 kgFagnini
3
70 kgRadaelli
4
67 kgOlano
7
70 kgEdo
8
64 kgvan Heeswijk
10
73 kg
Weight (KG) →
Result →
73
64
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | STRAZZER Massimo | 68 |
| 3 | FAGNINI Gian Matteo | 70 |
| 4 | RADAELLI Mauro | 67 |
| 7 | OLANO Abraham | 70 |
| 8 | EDO Ángel | 64 |
| 10 | VAN HEESWIJK Max | 73 |